We have evaluated the performance of DSW compared with Euclidean distance
and DTW. The result is encouraging. Note that, it would make no sense if we
cannot know ahead of time whether DSW will perform well on a given dataset
[1]}. For this purpose, we employ the Texas
sharpshooter plot to visualize if DSW is useful by predicting the
generalization ability using the classification results on the training set.
